At a Glance
- Tasks: Build and optimise machine learning pipelines using cutting-edge AWS technologies.
- Company: Join a forward-thinking tech company in the heart of London.
- Benefits: Competitive daily rate, flexible contract, and opportunities for skill enhancement.
- Other info: Dynamic role with potential for career advancement in a fast-evolving industry.
- Why this job: Make an impact in the AI field while working with innovative tools and frameworks.
- Qualifications: Experience in Python, AWS, and machine learning practices required.
The predicted salary is between 60000 - 80000 £ per year.
Machine Learning Engineer
London, UK — Contract. Daily rate 500-600 GBP.
Description
AWS ML stack: Sage Maker (training, fine‑tuning, endpoints), Bedrock (foundation models, embeddings, agents), Step Functions, Lambda, S3, Dynamo DB.
Build production ML end‑to‑end pipelines; fine‑tune models (Lo RA, PEFT); evaluate and monitor models with MLOps practices (model registry, CI/CD, monitoring, drift detection).
Work on RAG and embeddings: vector databases (Open Search Serverless, FAISS), chunking strategies, retrieval evaluation, knowledge‑base architectures.
Develop in Python and apply ML frameworks (Py Torch, Hugging Face Transformers) and data tooling (pandas, Num Py, Py Spark).
Explore spatial/geometric ML for constraint optimization, generative and parametric design, layout algorithms, spatial reasoning.
Integrate LLMs: prompt engineering, function calling, agentic architectures, NLP for domain‑specific tasks such as code compliance and design narration.
Apply software engineering fundamentals: APIs, containerisation (ECS/Docker), Ia C (CDK or Cloud Formation), CI/CD.
Skills
- AWS
- Python
- Machine learning
- MLOps
- LLM
- Py Spark
- RAG
- CI/CD
- NLP
- API
- Docker
- Cloud formation
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